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Journal : Paradigma

Optimizing Heart Failure Detection: A Comparison between Naive Bayes and Particle Swarm Optimization Hamid, Abdul; Ridwansyah, Ridwansyah
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3284

Abstract

This research focuses on the importance of early detection of heart failure which is a serious global health problem. Given the variety of symptoms of heart failure, accurate early detection methods are needed with the aim of reducing the impact of this disease. This study uses the Naïve Bayes (NB) method which has been proven effective in classifying heart failure with significant variations in accuracy by integrating Particle Swarm Optimization (PSO) to improve the model. The evaluation model involves a confusion matrix including accuracy, precision, recall, and Area Under the Curve. The research results show that the integration of PSO in NB results in an increase in accuracy of 7.73%, an increase in precision of 6.42%, and an increase in recall of 1.93%. Although there was a small decrease in AUC. This research shows that the success of NB with PSO can help improve the performance of early detection of heart failure. This indicates the importance of this research in developing more accurate and effective detection methods for critical health conditions such as heart failure.
Optimizing Heart Failure Detection: A Comparison between Naive Bayes and Particle Swarm Optimization Hamid, Abdul; Ridwansyah, Ridwansyah
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3284

Abstract

This research focuses on the importance of early detection of heart failure which is a serious global health problem. Given the variety of symptoms of heart failure, accurate early detection methods are needed with the aim of reducing the impact of this disease. This study uses the Naïve Bayes (NB) method which has been proven effective in classifying heart failure with significant variations in accuracy by integrating Particle Swarm Optimization (PSO) to improve the model. The evaluation model involves a confusion matrix including accuracy, precision, recall, and Area Under the Curve. The research results show that the integration of PSO in NB results in an increase in accuracy of 7.73%, an increase in precision of 6.42%, and an increase in recall of 1.93%. Although there was a small decrease in AUC. This research shows that the success of NB with PSO can help improve the performance of early detection of heart failure. This indicates the importance of this research in developing more accurate and effective detection methods for critical health conditions such as heart failure.
Co-Authors Abdul Hamid Adris Ade Putra Ahmad Mujahid, Ahmad Alayzha, Vivi Nur Alfian, Achmad Ali, Karnila Allimmah, Khoirunnisa Nurul Amelia, Merry Amrina, Dania Hellin Andharsaputri, Resti Lia Andi Saryoko ANGGUN RACHMAWATI, ANGGUN Anip Dwi Saputro, Anip Dwi Anus Wuryanto Ardini Saptaningsih Raksanagara, Ardini Saptaningsih Arisca, Nurmalita Arizona, Riza Asnawati Asnawati Ayasar, Prayogi Putra Bahar, Muh. Mahdinul Baharuddin, Andi Rakhmat Dinar, Ashari Seribu Djawad , Yasser Abd Dwimutian, Febyviani Elisa Julianti Era Yusraini Erike Anggraeni Ersi Sisdianto Esty Purwaningsih Evendi, Rustam Faika, Siti Faizah, Siti FARAH FAHMA Farhana, Nur Laila Fatma Lestari Fortuna, Salsabila Mutia Fortuna, Salsabilla Mutia Ganda Wijaya, Ganda Ganggang Canggi Arnanto Ghani, Wan Ruslan Abdul Gianova, Erin Gusti, Wahyu Ramadhani Gustika Nurmalia Hafis Nurdin Haripuddin . Haris Herdiansyah, Haris Hartati, Eka Yuni Hendra Jaya Heni Noviarita Herfina, Inne Dwi Herlambang, Saifuddin Herliawan, Irwan Hidayat, Icha Afrillia Idris, Maruf Idris, Ma’ruf Ifna, Nur Ifna Indah Ariyati Indayani Indra Sukma, Indra Irfansyah, Nanda Irmawati Carolina Ispandi Ispandi, Ispandi Jajang Jaya Purnama Jhody Wiraputra Juwita, Safna Kahfi, Ahmad Hafidzul Khaswar Syamsu Kresna Ramanda Kustia, Kustia Labusab, Labusab Lasmiatun, KMT Lawelendo, Lawelendo Mantasia Mantasia Marariza, Helma Mayzal, Tiondon Meilissa Ayu Pratiwi Moh. Muslih Monalysa, Lita Muhammad Iqbal Fasa Mustamin Mustamin Mutahharah Hasyim, Mutahharah Naffati, Abdel Kadir Nawawi, Hendri Mahmud Northa Idaman Novriyanto, Abib Nugraha, Fitra Septia Nurhasmi Nurhasmi Nursalma, Intan Nusasenjaya, Radite Okta Sari Okta Supriyaningsih Oky Kurniawan Pariabti Palloan Ponta, Tasri Pratama, Reza Hardian Purnama Soiswaty, Dwi Purwadhi Purwadhi Purwoko, Reza Yuridian Ramadhani, Mutiara Razimi, Mohd Syahril Ahmad Retno Sari Rian Andriani, Rian Rima Melati Risal, Ahmad Risnandar, Risnandar Rizki, Marisa RIZQINA, AULIA LAILY Rosyda, Susy Ruray, Titiek Arafiani Sabril, Aulia Samad, Putri IS Samman, Muhammad Sanusi, Dirga Kaso Sari, Defya Sari, Yetri Martika Sari, Yuniar Sartika Septina, Mulya Jayanti Putri Setiawan, Zunan SRI RAHAYU suhaeb, Sutarsi Suhartono sulis, sulistiawaty sulis, sulistiawaty - Supriadi Supriadi Suprianingsih, Okta Susanto, Is Susy Rosyida Tauhidin Abas, Totoh Terip Karo-Karo Theresia Santi, Theresia Titi Candra Sunarti Tubarad, Chara Pratami Tidespania Tyas, Prayoga Ning Usman Usman Wahrini, Retyana Wahyu Iryana Weny Rosilawati Wiraputra, Jhody Yahya, Haidar Silmi Yunita Sari Zen, Hasrul